Mariyan, a tech enthusiast with a background in Nuclear Physics and Journalism, brings a unique perspective to PhoneArena. His childhood curiosity for gadgets evolved into a professional passion for technology, leading him to the role of Editor-in-Chief at PCWorld Bulgaria before joining PhoneArena.
AI is the buzzword of the year, no doubt about it. AI this, AI that—we hear the abbreviation all the time, and sometimes it is tied to ridiculous devices and applications, such as AI mouses, AI toothbrushes, AI perfume algorithms, and even AI-informed shoes.
Imagine you're in a room. There are two slits on one of the walls and one slit on the opposite wall with red and green lights above it. Every minute, two sheets of paper with Chinese letters come out of the first two slits. Facial recognition is now much more accurate thanks to AI, for better or worse, and AI can easily find search patterns and offer contextual information tailored to a person's specific needs.
Google's Tensor chip, for example, has a dedicated edgeTPU part for accelerating AI tasks, while Qualcomm has included a new AI Engine to support up to 10 billion parameters of generative AI models—solely on-device in the Update Management: Deploying updates to models and algorithms across many devices can be challenging.On-device AI is the holy grail of security and self-sufficient AI experience, as no information is sent to the cloud. The thing is, however powerful our smartphones might be, they just can't compete with a dedicated data center with hundreds of processors running AI tasks.Cloud-based AI systems run AI models and process data on remote servers hosted in data centers.
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